Volume 25, Issue 3 (Autumn 2020)
JEPR 2020, 25(3): 145-166 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rasekh Jahromi E, Norani Azad S. (2020). Productivity and Efficiency of Meadow Mushroom Cultivation in Selected Provinces of the Country: Data Envelopment Analysis Approach. JEPR. 25(3), 145-166. doi:10.52547/jpbud.25.3.145
URL: http://jpbud.ir/article-1-1962-en.html
URL: http://jpbud.ir/article-1-1962-en.html
1- Faculty Member, Department of Economics, Payame Noor University, Tehran, Iran. , rasekh83@pnu.ac.ir
2- Assistant Professor, Department of Economics, Payame Noor University, Tehran, Iran.
2- Assistant Professor, Department of Economics, Payame Noor University, Tehran, Iran.
Abstract: (5706 Views)
The main purpose of this article is to evaluate the productivity and efficiency in meadow mushroom cultivation industry. To achieve this goal, by using the growth of total factors productivity in meadow mushroom farms in the six selected (Fars, Qazvin, Tehran, Alborz, Khorasan Razavi and Esfahan) provinces this has been calculated using the Malmquist index and data envelopment analysis (DEA) method for the period 2008-2018. By dividing the index into two effects of change in technology and change in technical efficiency, this study evaluates the total productivity of production factors. Moreover, this study attempts to evaluate the progress and recession rates of productivity. The results indicated that Isfahan province has the highest productivity of 15.8% Per year (positive growth) and Alborz province was facing a decrease in productivity of 1.6% per year (negative growth). On the other hand, the ratio of technological changes to productivity was more than the ratio of efficiency to productivity. So, to increase meadow mushroom productivity, it is necessary to improve technical efficiency and scale efficiency. In order to achieve these important goals, the present study provides some executive and research suggestions.
Keywords: Productivity, Efficiency, Malmquist Index, Data Envelopment Analysis, Meadow Mushroom Cultivation Industry.
Type of Study: Research |
Subject:
industrial economics
Received: Jan 03 2021 | Accepted: Mar 13 2021 | ePublished: Mar 19 2021
Received: Jan 03 2021 | Accepted: Mar 13 2021 | ePublished: Mar 19 2021
References
1. Akamin, A., Bidogeza, J.-C., & Afari-Sefa, V. (2017). Efficiency and Productivity Analysis of Vegetable Farming within Root and Tuber-Based Systems in the Humid Tropics of Cameroon. Journal of Integrative Agriculture, 16(8), 1865-1873. [DOI]
2. Al-Refaie, A., Al-Tahat, M. D., & Najdawi, R. (2015). Using Malmquist Index Approach to Measure Productivity Change of a Jordanian Company for Plastic Industries. American Journal of Operations Research, 5(05), 384-400. [DOI]
3. Banasik, A., Kanellopoulos, A., Claassen, G., Bloemhof-Ruwaard, J. M., & Van der Vorst, J. G. (2017). Closing Loops in Agricultural Supply Chains Using Multi-Objective Optimization: A Case Study of an Industrial Mushroom Supply Chain. International Journal of Production Economics, 183(1), 409-420. [DOI]
4. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. [DOI]
5. Baran, J., & Górecka, A. (2015). Seaport Efficiency and Productivity Based on Data Envelopment Analysis and Malmquist Productivity Index. Logistics & Sustainable Transport, 6(1), 25-33. [DOI]
6. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444. [DOI]
7. Choi, J., Roberts, D. C., & Lee, E. (2015). Productivity Growth in the Transportation Industries in the United States: An Application of the DEA Malmquist Productivity Index. American Journal of Operations Research, 5(1), 1-20. [DOI]
8. Choi, N., & Jung, K. (2017). Measuring Efficiency and Effectiveness of Highway Management in Sustainability. Sustainability, 9(8), 1347-1362. [DOI]
9. Coelli, T., & Walding, S. (2006). Performance Measurement in the Australian Water Supply Industry: A Preliminary Analysis. Performance Measurement and Regulation of Network Utilities, Working Paper Series No. 01, 29-61.
10. Färe, R., Grosskopf, S., & Roos, P. (1998). Malmquist Productivity Indexes: A Survey of Theory and Practice. In Index Numbers: Essays in Honour of Sten Malmquist (pp. 127-190): Springer. [DOI]
11. Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries. The American Economic Review, 84(1), 66-83.
12. Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281. [DOI]
13. Krugman, P. (1994). Defining and Measuring Productivity. The Age of Diminishing Expectations. [Article]
14. Li, N., Jiang, Y., Mu, H., & Yu, Z. (2018). Efficiency Evaluation and Improvement Potential for the Chinese Agricultural Sector at the Provincial Level Based on Data Envelopment Analysis (DEA). Energy, 164(1), 1145-1160. [DOI]
15. Norani-Azad, S., & Khodadad-Kashi, F. (2019). Evaluating Efficiency and Productivity Growth in Passenger Transportation Industry: Application of Stochastic Frontier Function. The Journal of Planning and Budgeting, 24(2), 31-58. [Article]
16. Pradhan, A. K. (2018). Measuring Technical Efficiency in Rice Productivity Using Data Envelopment Analysis: A Study of Odisha. International Journal of Rural Management, 14(1), 1-21. [DOI]
17. Sajadifar, S. H., Asali, M., Fathi, B., & Mohamadbagheri, A. (2016). Measuring Energy Consumption Efficiency Using Data Envelopment Analysis (DEA) with Undesirable Factors. The Journal of Planning and Budgeting, 20(4), 55-70. [Article]
18. Tombe, T. (2015). The Missing Food Problem: Trade, Agriculture, and International Productivity Differences. American Economic Journal: Macroeconomics, 7(3), 226-258. [DOI]
19. Yu, L., Yan-Min, R., Yu-Chun, P., & Chao, S. (2015). Evaluation of Production Efficiency of the County-Level Crop Farming in He'nan Based on GIS and DEA. Advance Journal of Food Science and Technology, 7(3), 154-158.
| Rights and permissions | |
.jpg) |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
